Abstract:
This thesis presents a comparative study of various controllers for the speed
control of DC motor. The most commonly used controller for the speed control
of DC motor is conventional Proportional- Integral- Derivative (PID) controller.
However, the PID controller has some disadvantages such as: the high starting
overshoot, sensitivity to controller gains and sluggish response due to sudden
disturbance. So, the relatively design PID controller with computational
optimization approach method is proposed to overcome the disadvantages of the
conventional PID controller. Further, two fuzzy logic based controllers namely;
fuzzy control and neuro-fuzzy control are proposed in this study and the
performance of these controllers are compared with PID controller performance.
Simulation results are presented and analyzed for all controllers. It is observed
that neuro-fuzzy controller gives a better response than other controllers for the
speed control of DC motor drives.
